Dataset Versions

v5

2023-06-28 2:31pm

Generated on Jun 28, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 30%
1038Images
Valid Set 70%
2469Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 19 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Hue: Between -180° and +180°
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%
Exposure: Between -50% and +50%
Blur: Up to 3px
Noise: Up to 16% of pixels
Mosaic: Applied

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